Data & AI Delivery Senior Manager/Associate Director | Capital Markets in London

Data & AI Delivery Senior Manager/Associate Director | Capital Markets in London

London Full-Time 80000 - 100000 € / year (est.) No home office possible
Women in Data®

At a Glance

  • Tasks: Lead complex data and AI transformation programmes in financial services.
  • Company: Dynamic firm at the forefront of data and AI innovation.
  • Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and enjoy excellent career advancement opportunities.
  • Why this job: Make a real impact by driving transformational change with cutting-edge technology.
  • Qualifications: Experience in data, AI, or technology transformation and strong leadership skills.

The predicted salary is between 80000 - 100000 € per year.

Location: London | Manchester | Scotland

Working pattern: Hybrid

Salary: Compensation aligned to experience and seniority

Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. Bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption.

Work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives.

Key responsibilities

  • Leading the delivery of complex data and AI transformation programmes across multiple workstreams
  • Managing multidisciplinary teams to deliver business critical technology outcomes
  • Collaborating directly with clients to understand challenges and shape tailored solutions
  • Translating technical requirements into business outcomes and delivery plans
  • Managing programme risks, dependencies, timelines and stakeholder expectations
  • Supporting the implementation of modern data platforms and AI driven solutions
  • Providing technical guidance and oversight across delivery teams
  • Building and maintaining strong relationships with client and business stakeholders
  • Supporting programme governance, reporting and communication across large initiatives
  • Applying market and industry knowledge to help shape client strategies and solutions
  • Supporting pre sales activity, technical proposals and client presentations
  • Coaching and mentoring team members across multidisciplinary environments

Experience Required

  • Experience delivering large scale data, AI or technology transformation programmes
  • Background within consulting, programme delivery, implementation or transformation environments
  • Experience leading teams across complex projects and multiple workstreams
  • Strong communication and stakeholder management skills with the ability to bridge technical and business audiences
  • Experience gathering requirements and shaping solutions aligned to business objectives
  • Understanding of AI technologies, modern data platforms and data management principles
  • Knowledge of data governance, data quality and data strategy concepts
  • Familiarity with delivery methodologies including Agile, Waterfall or SAFe
  • Experience with tooling such as Jira, Confluence or similar platforms
  • Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python
  • Financial services experience within capital markets or broader banking environments

This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments.

Data & AI Delivery Senior Manager/Associate Director | Capital Markets in London employer: Women in Data®

As a leading employer in the financial services sector, we offer an exceptional work environment that fosters innovation and collaboration. Our hybrid working model allows for flexibility while our commitment to employee growth ensures that you will have ample opportunities for professional development and advancement. Join us in London, Manchester, or Scotland, where you will be part of a dynamic team driving transformative data and AI initiatives that make a real impact in capital markets.

Women in Data®

Contact Detail:

Women in Data® Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & AI Delivery Senior Manager/Associate Director | Capital Markets in London

Tip Number 1

Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio or a personal website showcasing your past projects and achievements in data and AI. This is your chance to demonstrate how you’ve tackled complex challenges and delivered results.

Tip Number 3

Prepare for interviews by practising common questions and scenarios related to data transformation and AI. Think about how you can articulate your experience leading teams and managing multidisciplinary projects effectively.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can lead data and AI initiatives. Your next big opportunity could be just a click away!

We think you need these skills to ace Data & AI Delivery Senior Manager/Associate Director | Capital Markets in London

Data Transformation
AI Programmes
Project Delivery
Stakeholder Management
Technical Requirements Translation
Risk Management
Data Governance

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with data and AI transformation programmes, especially in financial services. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your journey in leading multidisciplinary teams and delivering complex projects. Show us your passion for data and AI, and how you can help shape our delivery strategy.

Showcase Your Technical Skills:Don’t forget to mention your familiarity with tools like Jira, Confluence, and cloud platforms such as AWS or Azure. We love seeing candidates who can bridge the gap between technical and business audiences, so make that clear in your application!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Women in Data®

Know Your Data & AI Stuff

Make sure you brush up on your knowledge of data transformation and AI technologies. Be ready to discuss specific projects you've worked on, especially those in financial services or capital markets. This will show that you understand the complexities of the role and can hit the ground running.

Showcase Your Leadership Skills

Prepare examples that highlight your experience in leading multidisciplinary teams. Talk about how you've managed complex projects and delivered business-critical outcomes. This is your chance to demonstrate your ability to drive transformational change and shape delivery strategies.

Communicate Clearly with Stakeholders

Practice explaining technical concepts in a way that non-technical stakeholders can understand. You’ll need to bridge the gap between technical and business audiences, so think of examples where you've successfully done this in the past.

Be Ready for Scenario Questions

Expect questions that ask how you would handle specific challenges in programme delivery. Think about potential risks, dependencies, and timelines you’ve managed before. Having a structured approach to problem-solving will impress your interviewers.